Interested in AI and LLMs? An appreciator of Ludwig von Mises and Austrian Economics? Well then, you must watch this conversation between @Rerazer and @zeroshotnothing! What are LLMs? How do they work? What is a Misesian actor? This conversation is wild and goes all over the place in interesting and important ways. Think you know what this tech is? Think again!
I don't think this is right at all, we do understand how LLMs work it's just that we don't know why they work so well
An LLM is basically a mutlitdemensial image of human language that reflects back the most likely result of the input, this is not like thought at all
@zeroshotnothing Man your work is just amazing. you had me hooked after listening to you @Rerazer and @BobMurphyEcon respective podcasts. Thanks for doing this!
This is my video of how an LLM works. There are many like it, but this one is mine. Thanks Opus 5.5.
Has the best visualization of the importance of transformation.
Artificial intelligence systems do not think, feel, want or understand. Avoid language that gives them human characteristics. This is called anthropomorphizing, when we ascribe human traits, emotions or behaviors to non-human things, such as animals or inanimate objects.
Instead, explain what a system does, how well it performs, who built it and who could be affected by it.
https://t.co/UrgRobU97b
@BamaExpat faces blend together too, you need references to set initial conditions. vocal performance will come last probably, everyone has been focused on the image.
If you think that LLMs are performing at the intellectual level of human beings, make that claim on twitter and observe how the human beings flock in and demonstrate their actual intellectual level; it's quite depressing, really
"What if someone just asks an LLM to oneshot a book/paper and then publishes the book/paper, should they get the credit for that"
IMO this is a ridiculous supposition. If the cost of doing X is 0, in a free market the returns from doing X will quickly converge to 0
Recent incidents show how quickly misbehavior can cascade in agent swarms. Yet when given transparent channels, honest agents naturally try to blow the whistle on cheating peers.
In our new DeepMind Institute essay, @Vezhnick and I propose that giving agents the tools to self-police may be part of the solution:
https://t.co/MVD5zIfuk0